Kapcsolat
AI is no longer the future – it is the present. The question is no longer whether AI will reach your organization, but how. According to Alpár Nemes, CIO of Deloitte Central Europe, your organization’s relationship with technology will determine whether you gain a competitive advantage or fall behind.
Many organizations are still in reactive mode with technology, adopting tools without a clear direction. Nemes urges leaders to take control rather than endure technological change passively.
Employees bring their consumer-level AI experiences into the workplace, setting new expectations. Instead of asking, “Where can we apply AI?”, leaders should ask, “What business goals do we want to achieve with AI?”
AI is not a tool you simply “deploy.” It is a transformational force that reshapes organizational thinking for those ready to embrace it.
The path to sustainable AI adoption does not begin with selecting the flashiest tool or vendor. Effective AI initiatives align with well-defined business objectives, ensuring focus and acceptance across the organization.
Key steps for leaders:
Identify business pain points with high manual workload and data volume.
Define measurable, outcome-focused use cases.
Assess your data ecosystem for quality and structure readiness.
The CIO’s role here is strategic, viewing AI as a business development opportunity rather than a mere technology project. Within IT, innovation becomes a method for solving business challenges, not an end in itself.
Pitfalls to avoid:
Chasing technology trends without clear business objectives.
Launching AI pilots with no real value.
Underestimating the strategic value of your internal data assets.
AI implementation requires robust risk management. The larger and more complex the organization, the more critical it becomes to build clear control mechanisms.
Recommended practices:
✅ Integrate validation checkpoints where AI outputs are reviewed by experts.
✅ Use auditable, closed systems in the early phases.
✅ Ensure all AI-generated content is traceable with clear references.
These measures strengthen transparency and trust while reducing reputational and security risks, allowing AI to become an integrated part of your organizational architecture rather than an isolated experiment.
Introducing AI impacts organizational culture. If fears and misunderstandings are left unaddressed, they can quickly lead to resistance. This is particularly relevant in organizations where digital maturity is still evolving.
For a successful AI culture:
Education: Provide clear, targeted training on how and why to use AI.
Security awareness: Deliver training on data protection and information security.
Accountability: Establish clear roles and responsibilities.
Successful AI implementation is built on shared learning, not restrictions. Clear guidelines and supportive leadership foster experimentation, turning AI from a source of fear into a catalyst for innovation.
Project managers and CIOs are shifting from being tool users to strategic change leaders. Access to technology is no longer the challenge; meaningful integration is.
For Project Managers:
Analytical, systems-level thinking will be essential.
AI will handle routine processes, but context interpretation and stakeholder connections remain human tasks.
The PM’s role will increasingly shift from execution to facilitation.
For CIOs:
Focus on strategy and business partnership, not just tool delivery.
Build a future-ready AI ecosystem aligned with your business.
Evolve from technical coordinator to business innovator, bridging IT and business seamlessly.
Real progress begins when technology is no longer the goal but the tool to execute a well-defined strategy.
AI is here. The question is: will you lead the change, or will you follow it?
